Data-driven Insights

Overview

One of the biggest challenges organizations face with respect to data science and AI is identifying where and how to start. Over the past years, at EAI we developed a framework for linking an organization’s business strategy and supporting business initiatives to the organization’s data science and AI efforts.

The data strategy guides companies in all stages of their data-driven path through the process of breaking down its business strategy and business initiatives into potential use cases. Our "top-down" approach is ROI-oriented and always focused on the results defined by the business strategies.

Challenge

Most project managers and project owners are not experienced with the context of data, and most data scientists are not yet experienced with aligning technical applications with the company's business goals.

United Kingdom
London

Opportunity

Carlsberg asked EAI to help them with a project that had been started 2 years before. Coming in, it was clear that the project was missing a strategy that would align the development team and the business side. Our main mission was assisting the company to deliver a great product for the end-user using a high-quality process standard.

Impact

Besides helping Carlsberg stakeholders defining the data strategy and identifying Data Science use cases, EAI also helped the company define KPIs and analysis that would help the product yield the maximum ROI for the company.

813K+

orders per month analyzed
to deliver actionable insights
to customers

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